Overview
Responsibilities:
- Design and implement production-grade AI agents and robust automation services
- Create robust data pipelines for extraction and LLM-driven transformation
- Integrate with external tools and APIs, including web parsers, email, chat systems, and streaming data
- Expose agent workflows as well-documented APIs or event-driven services
- Focus on building reliable systems with built-in caching, retries, observability, and performance optimization
- Contribute to the development of internal SDKs and frameworks to accelerate AI agent development across the team
- Partner with cross-functional teams to translate use cases into reliable, maintainable solutions
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
- 5+ years of professional Python experience, with a focus on modern async and typed code
- Proven track record building scalable backend APIs with modern web frameworks (e.g., FastAPI, Django)
- Hands-on experience with LLM agent design patterns like ReAct and tool-calling, preferably with frameworks like LangChain
- Practical experience with event-driven architectures (e.g., Kafka, RabbitMQ)
- Experience with orchestration frameworks (e.g., Dagster, Airflow)
- Proficiency with relational databases (e.g., PostgreSQL) and non-relational databases (e.g., MongoDB, Redis, PgVector)
- Strong knowledge of CI/CD practices, preferably with Azure DevOps
- Commitment to writing strong unit and integration tests
- Ability to work independently and thrive in a fast-paced, evolving project environment
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